{"id":"W7018872401","doi":"","title":"On the efficiency of testing procedures in the linear model for multivariate longitudinal data","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kronecker product; Covariance; Covariance matrix; Multivariate statistics; Product (mathematics); Linear model; Matrix (chemical analysis); Kronecker delta","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005624894,0.000170743,0.0002706456,0.0000196072,0.00006746902,0.0000103445,0.0006074445,0.00003164424,0.00003708472],"category_scores_gemma":[0.0003996462,0.00009753862,0.00001499253,0.00007680657,0.00008918584,0.00003566244,0.0001270773,0.0001484191,6.679702e-10],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002324703,"about_ca_system_score_gemma":0.0009466764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003132787,"about_ca_topic_score_gemma":0.02600878,"domain_scores_codex":[0.9983824,0.00008414496,0.000270966,0.0002325425,0.0008345026,0.0001953742],"domain_scores_gemma":[0.9938159,0.005448901,0.0002663987,0.0004213138,7.095945e-7,0.00004676855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001021657,0.00007690892,0.000603578,0.0008357798,0.00004191505,0.00001480179,0.0000791936,0.00003973292,0.0001343779,0.9738714,0.02072569,0.003474463],"study_design_scores_gemma":[0.0005505586,0.0001886719,0.001181892,0.002107926,0.00009898253,0.00000618822,0.0009432949,0.5960058,0.0007366396,0.3947714,0.002978097,0.0004305642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0004261514,0.000146773,0.3410478,0.001964293,0.00009368464,0.001171773,0.003886308,0.00001152121,0.6512517],"genre_scores_gemma":[0.1302697,0.0000776243,0.8131455,0.001051798,0.0001716661,0.00007013354,0.00002301666,0.000203476,0.05498701],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5962647,"threshold_uncertainty_score":0.991764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06478342242178489,"score_gpt":0.2758469373547043,"score_spread":0.2110635149329194,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}